In 2020, at a resort in San Antonio, a Model S owner had their car damaged by a valet who wanted to test out Cheetah mode. The joyride did not end well for this valet who crashed the car into a concrete wall, which was captured on the car’s dash cam.
Many luxury carmakers have invented ways to prevent a valet from damaging the car or accessing personal data. Some carmakers introduced valet keys that could limit top speed, reduce acceleration and lock the glove box. Although these features improved the safety and privacy of the car, the physical keys were impractical because they could be stolen or lost. Valet keys have been outdated since Chevrolet introduced virtual Valet Mode in 2014.
Tesla also implemented a Valet Mode of its own that improves upon the safety and privacy features of the valet key. Tesla's Valet Mode is a feature that prevents valets from driving recklessly and having access to the owner's personal information. Tesla introduced the feature in 2015 as part of an over-the-air software update.
Tesla's Valet Mode
MonsterGadgets/YouTube
Everything Valet Mode Does
When Valet Mode is activated, Tesla’s operating system restricts some of the car's functionality. Valet Mode will limit the car's maximum speed to 70 mph, reduce acceleration by about 50 percent and disable the use of autopilot.
In addition to these safety features, the security and privacy features include the automatic locking of the glove box and frunk. Valet Mode also keeps the user's information private by blocking certain personal information from appearing on the display screen. This keeps information such as addresses, contacts and schedules completely private. Valet Mode also disables Wi-Fi, Bluetooth and navigation functionality.
Valet Mode Restrictions
Valet Mode restrictions the following features:
Speed limited to 70 mph
Acceleration restricted to “Chill”
The front trunk and glove box will lock, the trunk will remain accessible
Voice commands are disabled
Navigation is disabled so that it does not allow access to recent destinations, favorites or home and work addresses
Autopilot/FSD is disabled
Allow Mobile Access setting cannot be changed
HomeLink (if applicable) is not available
Driver profiles are not available
The touchscreen will not display the list of keys that can access the car
Wi-Fi and Bluetooth are disabled, and you cannot view or add a new device
Sentry Mode options can’t be changed (if Sentry Mode is on, it can’t be turned off)
Smart summon is disabled
Calendar is not available
The Upgrades section in Controls > Upgrades is disabled
There are a few other features that are inaccessible while Valet Mode is enabled. The most obvious of which is Ludicrous Mode, which allows the driver to access the full acceleration power of the Tesla.
This mode is only available for some performance models. Smart Summon is also inaccessible while in Valet Mode. However, if your Tesla is parked in Valet Mode, you can disable Valet Mode from the mobile app, and proceed to Smart Summon your car.
Charging
Although Tesla limits many features while the vehicle is in Valet Mode to protect your privacy and your vehicle, it does not limit the ability to charge.
This can be useful when you visit a valet location with chargers on site. The valet can plug your Tesla in to charge while it is parked.
Speed Limit
Although the speed limit for Valet Mode defaults to 70 mph, you can customize it to your preference using "Speed Limit Mode". The speed limit can be set in safety settings by turning on the Speed Limit Mode and creating a 4-digit PIN.
By turning on Speed Limit Mode, you can set a custom maximum speed that cannot be changed without your PIN. You can set the maximum speed in the car or in the Security section of the Tesla app.
How to Turn On Valet Mode
Valet Mode can be activated from within the vehicle and through the mobile app. To activate it from within the car, tap your profile name on the display screen. A drop-down menu will appear, select the last tab labeled “Valet Mode.” you will be prompted to enter a four-digit PIN the first time you enable Valet Mode. Once the PIN is entered, the screen will display that Valet Mode has been enabled. You can also use the mobile app to turn Valet Mode on and off, assuming the vehicle is parked, by clicking ”Security” and then “Valet Mode”.
PIN to Drive
If you use PIN to Drive, an additional security feature that requires you to enter a valid PIN code to start the car, this feature is disabled while the car is in Valet Mode. Once you start Valet Mode, you’ll be prompted to enter your PIN to Drive code. This code will be saved and will not require the valet driver to enter a PIN to start the car.
Teen Drivers
Valet Mode can also come in handy when letting a teen drive to prevent them from speeding or using functionality that could be dangerous for a new driver, such as using the car’s full acceleration or using Autopilot. None of the Tesla’s safety features are disabled while in Valet Mode.
If you prefer, you can just enable Speed Limit Mode so that they can still access navigation, music, and other features.
Teslas are fun cars to drive and some people may be tempted to test the car’s instant torque, fast acceleration and amazing Autopilot capabilities, but these features should be used with permission.
Since Teslas are capable of high speed and fast acceleration, Valet Mode is an advisable feature to use. The higher performance of a car, the greater the risk of an accident when left in the hands of a valet driver.
Tesla owners can have peace of mind knowing that Valet Mode can prevent speeding and reckless driving and protect their privacy when someone else is behind the wheel.
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With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.
Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.
Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles. You can check this out in our map below with the sightings we’re tracking.
If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.
From Urban Core to Rural Roads
The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.
In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges.
In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.
In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.
Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.
Rapid Scaling
This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.
While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.
Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.
For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.
Toll Booth Magic
In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.
If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.
While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.
It can see the transaction happening using the repeater & pillar cameras. Hence FSD proceeds on its own when the transaction is complete 😎
FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.
The Bigger Picture
This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.
If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.
These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.
This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.
These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.
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